Dynamic Guard Band Allocation for Multi-Numerology 5G Throughput
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Solution Overview
Problem
5G networks face challenges with inter-numerology interference (INI) due to non-orthogonality among subcarriers with different numerologies, leading to reduced network throughput and inefficient spectrum utilization.
Innovation Solution
Implementing a guard band optimizer in the near-real-time RAN intelligent controller (near-RT RIC) that adjusts guard band sizes and PRB allocations based on SINR measurements to maximize throughput by repurposing guard band spectrum for data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If guard bands are implemented between BWPs with different numerologies to reduce inter-numerology interference, then interference is minimized, but spectrum utilization efficiency deteriorates due to bandwidth consumption by guard bands
Solution Approach 1:
The guard band width is made dynamic rather than fixed. The network controller adjusts the guard band width between BWPs based on real-time SINR measurements and interference conditions. When interference is high, wider guard bands are allocated; when interference is low, narrower guard bands are used, allowing the system to adapt to changing conditions and optimize the trade-off between interference reduction and spectrum utilization.
Solution Approach 2:
The system changes the parameter of guard band width based on measured SINR values and throughput performance. By monitoring the actual interference levels and adjusting the guard band parameter dynamically, the system optimizes the balance between minimizing inter-numerology interference and maximizing spectrum utilization efficiency.
2Reliability
If standard guard band bandwidth is used between BWPs, then interference protection is ensured, but network throughput deteriorates due to wasted spectrum resources
Solution Approach 1:
The guard band width is dynamically adjusted based on measured SINR values and throughput performance. Instead of using a fixed standard guard band width, the system adapts the guard band size to actual interference conditions, ensuring reliable interference protection when needed while maximizing throughput by reducing guard band overhead when interference is minimal.
Solution Approach 2:
The system changes the guard band width parameter based on empirical measurements of SINR and throughput. By monitoring performance metrics and adjusting the guard band parameter accordingly, the system maintains reliable interference protection while optimizing network throughput through reduced spectrum waste.
3Quantity of substance
If guard band size is reduced to increase spectrum utilization, then spectrum efficiency improves, but inter-numerology interference increases due to loss of orthogonality
Solution Approach 1:
The guard band width is dynamically adjusted based on measured SINR values. When SINR measurements indicate low interference conditions, the system reduces guard band width to increase spectrum utilization. When SINR measurements indicate high interference, the system increases guard band width to maintain orthogonality and reduce inter-numerology interference, creating an adaptive balance between the two competing objectives.
Solution Approach 2:
The system uses feedback from SINR measurements and throughput performance to continuously adjust guard band width. By monitoring the actual interference levels and spectrum utilization efficiency, the system adapts the guard band parameter to maintain optimal performance, reducing interference when necessary while maximizing spectrum utilization.
4Ease of operation
If fixed PRB allocation is used in BWPs, then scheduling simplicity is maintained, but network throughput deteriorates due to inability to adapt to varying interference conditions
Solution Approach 1:
The PRB allocation is made dynamic based on measured SINR values and throughput performance. The network controller adjusts which PRBs are allocated to which BWPs and users based on real-time interference conditions. This allows the system to adapt to varying interference conditions and maximize throughput while maintaining relatively simple scheduling procedures through centralized control.
Solution Approach 2:
The system changes PRB allocation parameters based on empirical measurements of SINR and throughput. By monitoring performance metrics and adjusting the allocation parameters accordingly, the system optimizes network throughput while adapting to varying interference conditions, moving from fixed to adaptive allocation.
Data Source
AI summary
The present optimization of guard bands repurposes some guard band spectrum for data transmission in a 5G network. This approach takes spectrum that is otherwise “wasted” for guard bands to enable overall spectrum utilization to be increased. To mitigate effects of inter-numerology interference (INI) with narrower guard band bandwidth, physical resource blocks (PRBs) for particular user equipment (UE) are allocated to BWPs that are modified with increased bandwidth that comes from narrowing the guard band bandwidth. These particular UEs have high signal strength, for example, as characterized by SINR (signal-to-interference plus noise ratio), relative to other UE. Allocating PRBs for high signal strength UE in BWPs near the edges of the narrower guard band increases the risk of INI, but the higher signal strength for these UE helps to lessen the INI impact and enable overall throughput for all users to be maximized in the network.